9780521768320-0521768322-Basic Phylogenetic Combinatorics

Basic Phylogenetic Combinatorics

ISBN-13: 9780521768320
ISBN-10: 0521768322
Edition: Illustrated
Author: Andreas Spillner, Andreas Dress, Vincent Moulton, Katharina T. Huber, Jacobus Koolen
Publication date: 2012
Publisher: Cambridge University Press
Format: Hardcover 276 pages
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Book details

ISBN-13: 9780521768320
ISBN-10: 0521768322
Edition: Illustrated
Author: Andreas Spillner, Andreas Dress, Vincent Moulton, Katharina T. Huber, Jacobus Koolen
Publication date: 2012
Publisher: Cambridge University Press
Format: Hardcover 276 pages

Summary

Basic Phylogenetic Combinatorics (ISBN-13: 9780521768320 and ISBN-10: 0521768322), written by authors Andreas Spillner, Andreas Dress, Vincent Moulton, Katharina T. Huber, Jacobus Koolen, was published by Cambridge University Press in 2012. With an overall rating of 3.7 stars, it's a notable title among other Pure Mathematics (Mathematics) books. You can easily purchase or rent Basic Phylogenetic Combinatorics (Hardcover) from BooksRun, along with many other new and used Pure Mathematics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Phylogenetic combinatorics is a branch of discrete applied mathematics concerned with the combinatorial description and analysis of phylogenetic trees and related mathematical structures such as phylogenetic networks and tight spans. Based on a natural conceptual framework, the book focuses on the interrelationship between the principal options for encoding phylogenetic trees: split systems, quartet systems and metrics. Such encodings provide useful options for analyzing and manipulating phylogenetic trees and networks, and are at the basis of much of phylogenetic data processing. This book highlights how each one provides a unique perspective for viewing and perceiving the combinatorial structure of a phylogenetic tree and is, simultaneously, a rich source for combinatorial analysis and theory building. Graduate students and researchers in mathematics and computer science will enjoy exploring this fascinating new area and learn how mathematics may be used to help solve topical problems arising in evolutionary biology.

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